Literature DB >> 18503924

A randomized study in diabetic patients undergoing cardiac surgery comparing computer-guided glucose management with a standard sliding scale protocol.

Leif Saager1, Gordon L Collins, Beth Burnside, Heidi Tymkew, Lini Zhang, Eric Jacobsohn, Michael Avidan.   

Abstract

OBJECTIVE: The aim of this study was to compare a standard insulin protocol with a computer-guided glucose management system to determine which method achieves tighter glucose control.
DESIGN: A prospective, randomized trial.
SETTING: A cardiothoracic intensive care unit (ICU) in a large academic medical center. PARTICIPANTS: Forty patients with diabetes mellitus who were scheduled for cardiac surgery.
INTERVENTIONS: After induction of anesthesia and for the first 9 hours in the ICU, each subject received a standardized infusion of a 10% glucose solution at a rate of 1.0 mL/kg/h (ideal body weight). The subjects were then randomized to have their glucose controlled by either a paper-based insulin protocol or by a computer-guided glucose management system (CG). The desired range for blood glucose was set between 90 and 150 mg/dL.
MEASUREMENTS AND MAIN RESULTS: There were no differences between groups in baseline characteristics. Patients in the CG group spent more time in the desired range during both the intraoperative phase (49% v 27%, p = 0.001) and the ICU phase (84% v 60%, p < 0.0001). There were no statistical differences between groups in the number of hypoglycemia episodes.
CONCLUSIONS: The computer-guided glucose management system achieved tighter blood glucose control than a standard paper-based protocol in diabetic patients undergoing cardiac surgery. However, the low proportion of blood glucose recordings within the desired range in both groups during the intraoperative period reflects the challenges associated with achieving normoglycemia during cardiac surgery.

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Year:  2007        PMID: 18503924     DOI: 10.1053/j.jvca.2007.09.013

Source DB:  PubMed          Journal:  J Cardiothorac Vasc Anesth        ISSN: 1053-0770            Impact factor:   2.628


  23 in total

Review 1.  Essential elements of the native glucoregulatory system, which, if appreciated, may help improve the function of glucose controllers in the intensive care unit setting.

Authors:  Leon DeJournett
Journal:  J Diabetes Sci Technol       Date:  2010-01-01

Review 2.  Glycemic control in the burn intensive care unit: focus on the role of anemia in glucose measurement.

Authors:  Elizabeth A Mann; Alejandra G Mora; Heather F Pidcoke; Steven E Wolf; Charles E Wade
Journal:  J Diabetes Sci Technol       Date:  2009-11-01

Review 3.  Improvement in inpatient glycemic care: pathways to quality.

Authors:  Joseph A Aloi; Christopher Mulla; Jagdeesh Ullal; David C Lieb
Journal:  Curr Diab Rep       Date:  2015-04       Impact factor: 4.810

4.  Intraoperative blood glucose management: impact of a real-time decision support system on adherence to institutional protocol.

Authors:  Bala G Nair; Katherine Grunzweig; Gene N Peterson; Mayumi Horibe; Moni B Neradilek; Shu-Fang Newman; Gail Van Norman; Howard A Schwid; Wei Hao; Irl B Hirsch; E Patchen Dellinger
Journal:  J Clin Monit Comput       Date:  2015-06-12       Impact factor: 2.502

Review 5.  The future is now: software-guided intensive insulin therapy in the critically ill.

Authors:  Rishi Rattan; Stanley A Nasraway
Journal:  J Diabetes Sci Technol       Date:  2013-03-01

6.  Development of the Likelihood of Low Glucose (LLG) algorithm for evaluating risk of hypoglycemia: a new approach for using continuous glucose data to guide therapeutic decision making.

Authors:  Timothy C Dunn; Gary A Hayter; Ken J Doniger; Howard A Wolpert
Journal:  J Diabetes Sci Technol       Date:  2014-04-17

Review 7.  Tight glycemic control and computerized decision-support systems: a systematic review.

Authors:  Saeid Eslami; Ameen Abu-Hanna; Evert de Jonge; Nicolette F de Keizer
Journal:  Intensive Care Med       Date:  2009-06-27       Impact factor: 17.440

8.  Intensive Care Unit Insulin Delivery Algorithms: Why So Many? How to Choose?

Authors:  Garry M Steil; Dorothee Deiss; Judy Shih; Bruce Buckingham; Stuart Weinzimer; Michael S D Agus
Journal:  J Diabetes Sci Technol       Date:  2009-01

Review 9.  Health technology assessment review: Computerized glucose regulation in the intensive care unit--how to create artificial control.

Authors:  Miriam Hoekstra; Mathijs Vogelzang; Evgeny Verbitskiy; Maarten W N Nijsten
Journal:  Crit Care       Date:  2009-10-16       Impact factor: 9.097

10.  Comparison of three protocols for tight glycemic control in cardiac surgery patients.

Authors:  Jan Blaha; Petr Kopecky; Michal Matias; Roman Hovorka; Jan Kunstyr; Tomas Kotulak; Michal Lips; David Rubes; Martin Stritesky; Jaroslav Lindner; Michal Semrad; Martin Haluzik
Journal:  Diabetes Care       Date:  2009-02-05       Impact factor: 17.152

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